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Lin, Xiao-fan; Liang, Jyh-Chong; Tsai, Chin-Chung; Hu, Qintai – Australasian Journal of Educational Technology, 2018
With the increasing importance of adult and continuing education, the present study aimed to examine the factors that influence continuing web-based learning at work. Three questionnaires were utilised to investigate the association of the job characteristics from Karasek et al.'s (1998) job demand-control-support model and the self-regulated…
Descriptors: Air Transportation, Metacognition, Web Based Instruction, Professional Continuing Education
Liu, Haixia; Lin, Chin-Hsi; Zhang, Dongbo – Computer Assisted Language Learning, 2017
Though pedagogical beliefs have been identified as critical factors in the success of technology integration, very few studies have included them in technology-adoption models. The present study revises the Technology Acceptance Model (TAM) by adding teachers' pedagogical beliefs, and tests the revised model among university-level…
Descriptors: Beliefs, Information Technology, Teacher Attitudes, Language Teachers
Cho, Moon-Heum; Shen, Demei – Distance Education, 2013
The purpose of this study was to examine the role of goal orientation and academic self-efficacy in student achievement mediated by effort regulation, metacognitive regulation, and interaction regulation in an online course. The results show that intrinsic goal orientation and academic self-efficacy predicted students' metacognitive…
Descriptors: Self Management, Online Courses, Electronic Learning, Metacognition
Li, Ming-hui; Eschenauer, Robert; Yang, Yan – Journal of Multicultural Counseling and Development, 2013
This study explores factors that influence problem-solving coping style across cultures. There was no significant difference in applying problem solving across U.S., Taiwanese, and Chinese samples. The effective predictors of problem solving in the U.S. and Chinese samples were self-efficacy and trait resilience, respectively. In the Taiwanese…
Descriptors: Foreign Countries, Problem Solving, Resilience (Psychology), Predictor Variables